Triple

T23515685
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Chartier E574356 entity
Predicate produced P490 FINISHED
Object Good Kill NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Good Kill | Statement: [Nicholas Chartier, produced, Good Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Kill
Context triple: [Nicholas Chartier, produced, Good Kill]
  • A. Good Kill chosen
    Good Kill is a 2014 drama film written and directed by Andrew Niccol that explores the moral and psychological toll of modern drone warfare on a U.S. Air Force pilot.
  • B. The Kill List
    The Kill List is a contemporary thriller novel by Frederick Forsyth that follows an elite tracker hunting a mysterious jihadist terrorist known as "the Preacher."
  • C. Eye in the Sky
    Eye in the Sky is a 2015 British thriller film that explores the moral and legal complexities of modern drone warfare and targeted killings.
  • D. Eye in the Sky
    Eye in the Sky is a 1982 soft rock song and album by The Alan Parsons Project, known for its smooth production, melodic hooks, and enduring radio popularity.
  • E. Haywire
    "Haywire" is a 1977 memoir by Brooke Hayward that recounts her turbulent Hollywood childhood and the disintegration of her glamorous show-business family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa81ab4c8190b85c8f80754020ea completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.